The solid-earth-tide models IERS1992 and IERS2003 are used to analyze some GPS-baseline,vertical-component and zenith-tropospheric-delay data from the Crustal Movement GPS Continuous Observation Net-work of Shandong a...The solid-earth-tide models IERS1992 and IERS2003 are used to analyze some GPS-baseline,vertical-component and zenith-tropospheric-delay data from the Crustal Movement GPS Continuous Observation Net-work of Shandong and IGS stations. The results show that the differences between the baselines computed with the different models are at sub-millimeter level, and the differences in vertical component is direct proportional to station latitude. Also the amplitude of ZTD differences is about 0. 6-1.0 mm, which is 6% -8% of the amplitude of solid-earth-tide differences. Although these effects are quite small, to analyze non-tidal deformation correctly, we should still use a single standard for processing GPS data.展开更多
该文利用线性回归函数,根据卫星测高及中国沿海6个验潮站数据估算出1993—2020年中国沿海绝对海平面上升速率为4.17±1.32 mm a,相对海平面上升速率为4.47±0.90 mm a。将1958—2020年的大气数据、海洋数据及气候模态指数作为...该文利用线性回归函数,根据卫星测高及中国沿海6个验潮站数据估算出1993—2020年中国沿海绝对海平面上升速率为4.17±1.32 mm a,相对海平面上升速率为4.47±0.90 mm a。将1958—2020年的大气数据、海洋数据及气候模态指数作为预报因子,建立了长短期记忆神经网络模型(LSTM模型)、循环神经网络模型(RNN模型)、门控循环单元神经网络模型(GRU模型)和支持向量机回归模型(SVR模型)等多种神经网络模型对中国沿海6个验潮站周边的相对海平面变化趋势进行预测。模型评估结果表明,同时引入大气变量、海洋变量及气候模态指数变量的LSTM模型取得的预测值与观测值的平均相关系数和均方根误差分别为0.866和19.279 mm,在4种模型中表现最佳,可以作为一种新型的预测相对海平面变化的方法。展开更多
文摘The solid-earth-tide models IERS1992 and IERS2003 are used to analyze some GPS-baseline,vertical-component and zenith-tropospheric-delay data from the Crustal Movement GPS Continuous Observation Net-work of Shandong and IGS stations. The results show that the differences between the baselines computed with the different models are at sub-millimeter level, and the differences in vertical component is direct proportional to station latitude. Also the amplitude of ZTD differences is about 0. 6-1.0 mm, which is 6% -8% of the amplitude of solid-earth-tide differences. Although these effects are quite small, to analyze non-tidal deformation correctly, we should still use a single standard for processing GPS data.
文摘该文利用线性回归函数,根据卫星测高及中国沿海6个验潮站数据估算出1993—2020年中国沿海绝对海平面上升速率为4.17±1.32 mm a,相对海平面上升速率为4.47±0.90 mm a。将1958—2020年的大气数据、海洋数据及气候模态指数作为预报因子,建立了长短期记忆神经网络模型(LSTM模型)、循环神经网络模型(RNN模型)、门控循环单元神经网络模型(GRU模型)和支持向量机回归模型(SVR模型)等多种神经网络模型对中国沿海6个验潮站周边的相对海平面变化趋势进行预测。模型评估结果表明,同时引入大气变量、海洋变量及气候模态指数变量的LSTM模型取得的预测值与观测值的平均相关系数和均方根误差分别为0.866和19.279 mm,在4种模型中表现最佳,可以作为一种新型的预测相对海平面变化的方法。
